Modelling network public opinion polarization based on SIR model considering dynamic network structure

Yuan, Jiangjun; Shi, Jiawen; Wang, Jie; Liu, Weinan

doi:10.1016/j.aej.2021.10.014

Cited by 17 publications

(8 citation statements)

References 22 publications

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“…According to Internet public opinion difusion rules and mean feld theory [33,34], the diferential equations of Internet public opinion difusion model under the multisubject association are expressed as…”

Section: Internet Public Opinion Difusionmentioning

confidence: 99%

Internet Public Opinion Diffusion: A Cross Perspective of Multilayer Network and Multisubject Association

Hou

Liu

2022

Mathematical Problems in Engineering

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How to effectively regulate the spread of Internet public opinion from multisubject is the focus that governments around the world need to face. From the cross perspective of multilayer network and multisubject association, this paper studies the diffusion mechanism of Internet public opinion, constructs the multilayer network of Internet public opinion and its diffusion model, and then systematically analyzes the evolution characteristics of Internet public opinion diffusion. The main conclusions of the study are as follows: it is easier to trigger the spread of Internet public opinion by establishing associations among netizens in a preferred way. When the probability of random connection in different layers increases synchronously, the diffusion intensity of Internet public opinion shows a gradual downward trend. The intensity of government intervention has the greatest impact on the diffusion intensity of Internet public opinion. When the factors of netizens, Internet platform, and government interact, it can effectively reduce the intensity and scope of Internet public opinion diffusion. Once the media participate, it will improve the complexity of Internet public opinion diffusion. The government’s intervention in Internet public opinion is a “double-edged sword,” which needs to set the intervention intensity according to different subjects and their factor characteristics. This study can provide a theoretical reference for formulating strategies to adjust Internet public opinion diffusion from the cross perspective of multilayer network and multisubject association.

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Section: Internet Public Opinion Difusionmentioning

confidence: 99%

Internet Public Opinion Diffusion: A Cross Perspective of Multilayer Network and Multisubject Association

Hou

Liu

2022

Mathematical Problems in Engineering

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“…(Yang, 2022b) believes that college online public opinion has particularity and collectivity, interactivity and uncontrollability, periodicity and long-term characteristics. By analyzing the development and evolution process of online public opinion, (Yuan et al, 2022) effectively combines the information diffusion process with group polarization behavior, introduces the idea of dynamic network structure into the SIR model, and analyzes the reasons that affect the polarization phenomenon of online public opinion by adjusting parameters. (Peng et al, 2021) fully considers the development and dissemination characteristics of major emergencies, constructs a public opinion indicator system with four primary indicators, and recommends a network public opinion early warning model through GA-BP.…”

Section: Introductionmentioning

confidence: 99%

Research on College Network Early Warning Based on LSTM

Wang¹,

Fang²,

Jiang³

2023

JSS

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With the development of information technology and the continuous optimization of China's education system, college students have gradually become the main group in the Internet, and college network public opinion events have received increasing attention. By analyzing the constituent elements of university network public opinion, building an early warning indicator system from three dimensions: subject, carrier, and object, and combining life cycle theory, dynamic comprehensive evaluation method, and short-term memory network, constructing a university network public opinion model. Through empirical analysis of 20 university network public opinion events, the experimental results show that the proposed public opinion model has certain feasibility. Corresponding response strategies have also been proposed for different levels of crisis warning, providing a decision-making basis for relevant departments to guide and manage online public opinion in universities.

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“…Many researchers have applied SIR model and its variants to the dissemination of public opinion and they gave some meaningful conclusion. In 2021, Jiangjun Yuan et al applied SIR model to the public opinion polarization [1]. In the same year, Tinggui Chen et al considered the individual heterogeneity between different people [2].…”

Section: Introductionmentioning

confidence: 99%

On the Dissemination of Negative Public Opinions on a Certain Stage

Liu

2023

ACE

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In the previous study we have already known that SIR model can be used to deal with the public opinion problem. On the basis of this, in this paper we proposed a new model which can describe the dissemination of the public opinion, especially the negative ones more precisely and efficiently. We separate people into 4 parts to describe their different state when received the information and use method of dynamic system to find out the final state of the system. From this study, we give a explanation about the phenomenon that public opinions always disappear.

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Modelling network public opinion polarization based on SIR model considering dynamic network structure

Cited by 17 publications

References 22 publications

Internet Public Opinion Diffusion: A Cross Perspective of Multilayer Network and Multisubject Association

Internet Public Opinion Diffusion: A Cross Perspective of Multilayer Network and Multisubject Association

Research on College Network Early Warning Based on LSTM

On the Dissemination of Negative Public Opinions on a Certain Stage

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